Check computer science papers: citations, claims and retractions

Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification

Chen, S., Li, Y., Lu, S., Van, H., Aerts, H. J., Savova, G. K., & Bitterman, D. S. (2023) · arXiv

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 91

FoggyCache: Cross-Device Approximate Computation Reuse

Guo, P., Hu, B., Li, R., & Hu, W. (2018) · Proceedings of the 24th Annual International Conference on Mobile Computing and Networking

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 91

Masked Diffusion Transformer is a Strong Image Synthesizer

Gao, S., Zhou, P., Cheng, M.-M., & Yan, S. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 91

Deep Differentiable Random Forests for Age Estimation

Shen, W., Guo, Y., Wang, Y., Zhao, K., Wang, B., & Yuille, A. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Face recognition and analysisAdvanced Neural Network Applications

Cited by 91

Efficacy of an Adaptive Game-Based Math Learning App to Support Personalized Learning and Improve Early Elementary School Students’ Learning

Bang, H. J., Li, L., & Flynn, K. (2023) · Early Childhood Education Journal

Intelligent Tutoring Systems and Adaptive LearningEducational Games and Gamification

Cited by 91

Turning a denoiser into a super-resolver using plug and play priors

Brifman, A., Romano, Y., & Elad, M. (2016) · 2016 IEEE International Conference on Image Processing (ICIP)

Image and Signal Denoising MethodsAdvanced Image Processing Techniques

Cited by 91

Easy contextual intent prediction and slot detection

Bhargava, A., Celikyilmaz, A., Hakkani-Tur, D., & Sarikaya, R. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing

Speech and dialogue systemsSpeech Recognition and Synthesis

Cited by 91

YOLO Based Real-Time Human Detection for Smart Video Surveillance at the Edge

Nguyen, H. H., Ta, T. N., Nguyen, N. C., Bui, V. T., Pham, H. M., & Nguyen, D. M. (2021) · 2020 IEEE Eighth International Conference on Communications and Electronics (ICCE)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 91

Calibrated Language Models Must Hallucinate

Kalai, A. T., & Vempala, S. S. (2024) · Proceedings of the 56th Annual ACM Symposium on Theory of Computing

Topic ModelingNatural Language Processing Techniques

Cited by 91

Knowledge Graph-Guided Retrieval Augmented Generation

Zhu, X., Xie, Y., Liu, Y., Li, Y., & Hu, W. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 91

Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning

Mafarja, M., Thaher, T., Al-Betar, M. A., Too, J., Awadallah, M. A., Abu Doush, I., & Turabieh, H. (2023) · Applied Intelligence

Software Engineering ResearchSoftware Reliability and Analysis Research

Cited by 91

Animation space: A truly linear framework for character animation

Merry, B., Marais, P., & Gain, J. (2006) · ACM Transactions on Graphics

Human Motion and AnimationComputer Graphics and Visualization Techniques

Cited by 91

Cyberbullying detection: advanced preprocessing techniques & deep learning architecture for Roman Urdu data

Dewani, A., Memon, M. A., & Bhatti, S. (2021) · Journal of Big Data

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 91

A coherent quantum annealer with Rydberg atoms

Glaetzle, A. W., van Bijnen, R. M. W., Zoller, P., & Lechner, W. (2017) · Nature Communications

Quantum Computing Algorithms and ArchitectureCold Atom Physics and Bose-Einstein Condensates

Cited by 91

On the representation and embedding of knowledge bases beyond binary relations

Wen, J., Li, J., Mao, Y., Chen, S., & Zhang, R. (2016) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 91

Copyright Protection for AI-Generated Works: Exploring Originality and Ownership in a Digital Landscape

GAFFAR, H., & ALBARASHDI, S. (2025) · Asian Journal of International Law

Law, AI, and Intellectual PropertyIntellectual Property Law

Cited by 91

Target tracking control of UAV through deep reinforcement learning

Ma, B., Liu, Z., Zhao, W., Yuan, J., Long, H., Wang, X., & Yuan, Z. (2023) · IEEE Transactions on Intelligent Transportation Systems

Reinforcement Learning in RoboticsAerospace Engineering and Control Systems

Cited by 91

A Survey of Performance Optimization for Mobile Applications

Hort, M., Kechagia, M., Sarro, F., & Harman, M. (2022) · IEEE Transactions on Software Engineering

Mobile and Web ApplicationsGreen IT and Sustainability

Cited by 91

Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks

Nasiriany, S., Liu, H., & Zhu, Y. (2022) · 2022 International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 91

Let's (not) stick together: pairwise similarity biases cross-validation in activity recognition

Hammerla, N. Y., & Plötz, T. (2015) · Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 91

Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference

Ghaeini, R., Fern, X., & Tadepalli, P. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 91

Towards understanding programs through wear-based filtering

DeLine, R., Khella, A., Czerwinski, M., & Robertson, G. (2005) · Proceedings of the 2005 ACM symposium on Software visualization

Software Engineering ResearchData Visualization and Analytics

Cited by 91

Automated fetal brain segmentation from 2D MRI slices for motion correction

Keraudren, K., Kuklisova-Murgasova, M., Kyriakopoulou, V., Malamateniou, C., Rutherford, M. A., Kainz, B., Hajnal, J. V., & Rueckert, D. (2014) · NeuroImage

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 91

Future developments in standardisation of cyber risk in the Internet of Things (IoT)

Radanliev, P., De Roure, D. C., Nurse, J. R. C., Mantilla Montalvo, R., Cannady, S., Santos, O., Maddox, L., Burnap, P., & Maple, C. (2020) · SN Applied Sciences

Information and Cyber SecurityIoT and Edge/Fog Computing

Cited by 91